View Item 

A methodology for quality-based mashup of data sources

Access Status
Open access
Authors
Raza, Muhammad
Hussain, Farookh Khadeer
Chang, Elizabeth
Date
2008
Type
Conference Paper

Metadata
Show full item record
Citation
Raza, Muhammad and Hussain, Farookh Khadeer and Chang, Elizabeth. 2008. A methodology for quality-based mashup of data sources, in Kotsis, G. and Taniar, D. and Pardede, E. and Khalil, I. (ed), 2nd International Workshop on Applications of Information Integration in Digital Ecosystems (AIIDE 2008) with 10th International Conference on Information Integration and Web-based Applications & Services (iiWAS 2008), Nov 24 2008, pp. 528-533. Linz, Austria: Association for Computing Machinery (ACM).
Source Title
Proceedings of the 2nd international workshop on applications of information integration in digital ecosystems (AIIDE 2008) with 10th international conference on information integration and web-based applications & services (iiWAS 2008)
Source Conference
2nd International Workshop on Applications of Information Integration in Digital Ecosystems (AIIDE 2008) with 10th International Conference on Information Integration and Web-based Applications & Services (iiWAS 2008)
Additional URLs
ISBN
Faculty
Curtin Business School
School of Information Systems
School
Centre for Extended Enterprises and Business Intelligence
Remarks

© ACM, 2008. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 10th international Conference on information integration and Web-Based Applications & Services, ISBN: 978-1-60558-349-5, iiWAS 2008. <a href="http://doi.acm.org/10.1145/1497308.1497403">http://doi.acm.org/10.1145/1497308.1497403</a>

A link to the Publisher's website is available at: http://www.acm.org/

A link to the Publisher's version is available at: http://portal.acm.org/citation.cfm?doid=1497308.1497403

URI
Collection
Abstract

The concept of mashup is gaining tremendous popularity and its application can be seen in a large number of domains. Enterprises using and relying upon mashup have improved their mass collaboration and personalization. In order for mashup technology to be widely accepted and widely used, we need a methodology by which can make use of the quality of the input to the mashup process as a governing principle to carry out mashup. This paper reviews the concept of mashup in different domains and proposes a conceptual solution framework for providing quality based mashup process.